{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ABU量化系统使用文档 \n",
    "\n",
    "<center>\n",
    "        <img src=\"./image/abu_logo.png\" alt=\"\" style=\"vertical-align:middle;padding:10px 20px;\"><font size=\"6\" color=\"black\"><b>第5节 选股策略的开发</b></font>\n",
    "</center>\n",
    "\n",
    "-----------------\n",
    "\n",
    "作者: 阿布\n",
    "\n",
    "阿布量化版权所有 未经允许 禁止转载\n",
    "\n",
    "[abu量化系统github地址](https://github.com/bbfamily/abu) (您的star是我的动力！)\n",
    "\n",
    "[本节ipython notebook](https://github.com/bbfamily/abu/tree/master/abupy_lecture)\n",
    "\n",
    "\n",
    "在第一节即说过:\n",
    "\n",
    "- 在对的时间，遇见对的人(股票)，是一种幸福 \n",
    "- 在对的时间，遇见错的人(股票)，是一种悲伤 \n",
    "- 在错的时间，遇见对的人(股票)，是一声叹息 \n",
    "- 在错的时间，遇见错的人(股票)，是一种无奈 \n",
    "\n",
    "之前的节讲的都是择时(什么时候投资), 本节将讲解选股。\n",
    "\n",
    "首先导入abupy中本节使用的模块："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "enable example env will only read RomDataBu/df_kl.h5\n"
     ]
    }
   ],
   "source": [
    "from __future__ import print_function\n",
    "from __future__ import division\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "warnings.simplefilter('ignore')\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "import os\n",
    "import sys\n",
    "# 使用insert 0即只使用github，避免交叉使用了pip安装的abupy，导致的版本不一致问题\n",
    "sys.path.insert(0, os.path.abspath('../'))\n",
    "import abupy\n",
    "\n",
    "# 使用沙盒数据，目的是和书中一样的数据环境\n",
    "abupy.env.enable_example_env_ipython()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. 选股因子的编写\n",
    "\n",
    "与择时小节类似，实现示例在中abu量化系统实现一个选股策略。\n",
    "\n",
    "如下代码AbuPickRegressAngMinMax为选股因子，它的作用是将股票前期走势进行线性拟合计算一个角度，参数为选股条件，将选股条件作用于角度后进行股票的筛选。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from abupy import AbuPickStockBase, ps, ABuRegUtil\n",
    "\n",
    "class AbuPickRegressAngMinMax(AbuPickStockBase):\n",
    "    \"\"\"拟合角度选股因子示例类\"\"\"\n",
    "    def _init_self(self, **kwargs):\n",
    "        \"\"\"通过kwargs设置拟合角度边际条件，配置因子参数\"\"\"\n",
    "\n",
    "        # 暂时与base保持一致不使用kwargs.pop('a', default)方式\n",
    "        # fit_pick中 ang > threshold_ang_min, 默认负无穷，即默认所有都符合\n",
    "        self.threshold_ang_min = -np.inf\n",
    "        if 'threshold_ang_min' in kwargs:\n",
    "            # 设置最小角度阀值\n",
    "            self.threshold_ang_min = kwargs['threshold_ang_min']\n",
    "\n",
    "        # fit_pick中 ang < threshold_ang_max, 默认正无穷，即默认所有都符合\n",
    "        self.threshold_ang_max = np.inf\n",
    "        if 'threshold_ang_max' in kwargs:\n",
    "            # 设置最大角度阀值\n",
    "            self.threshold_ang_max = kwargs['threshold_ang_max']\n",
    "\n",
    "    @ps.reversed_result\n",
    "    def fit_pick(self, kl_pd, target_symbol):\n",
    "        \"\"\"开始根据自定义拟合角度边际参数进行选股\"\"\"\n",
    "        # 计算走势角度\n",
    "        ang = ABuRegUtil.calc_regress_deg(kl_pd.close, show=False)\n",
    "        # 根据参数进行角度条件判断\n",
    "        if self.threshold_ang_min < ang < self.threshold_ang_max:\n",
    "            return True\n",
    "        return False\n",
    "    \n",
    "    def fit_first_choice(self, pick_worker, choice_symbols, *args, **kwargs):\n",
    "        raise NotImplementedError('AbuPickRegressAng fit_first_choice unsupported now!')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上面编写的AbuPickRegressAngMinMax即为一个完整的选股策略：\n",
    "\n",
    "1. 选股策略必须继承自AbuPickStockBase\n",
    "2. 选股策略必须实现fit_pick，即完成通过选股阶段金融时间序列对股票决策是否选中\n",
    "3. 选股策略必须实现fit_first_choice, 但是可以raise NotImplementedError，fit_first_choice后面的章节示例\n",
    "4. fit_pick上的装饰器ps.reversed_result稍后讲解"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "选股模块主要功能依托AbuPickStockWorker，其类似择时模块中的AbuPickTimeWorker，其通过init_stock_pickers()函数将所有选股因子实例化，然后在之后的fit()操作中，遍历所有选股因子，使用选股因子的fit_pick()函数，保留所有选股因子的fit_pick()都返回True的股票，只要有一个选股因子的fit_pick结果是False就将股票剔除。\n",
    "\n",
    "详细代码请查阅 AbuPickStockWorker源代码。\n",
    "\n",
    "本节只讲简单讲解选股使用示例，比如只想选取符合上升走势的股票："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pid:19385 pick stocks complete:100.0%\n",
      "pid:19385 done!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['usSFUN', 'usBIDU', 'usTSLA', 'usWUBA', 'usVIPS']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from abupy import AbuPickStockWorker\n",
    "from abupy import AbuBenchmark, AbuCapital, AbuKLManager\n",
    "\n",
    "# 选股条件threshold_ang_min=0.0, 即要求股票走势为向上上升趋势\n",
    "stock_pickers = [{'class': AbuPickRegressAngMinMax,\n",
    "                  'threshold_ang_min': 0.0, 'reversed': False}]\n",
    "\n",
    "# 从这几个股票里进行选股，只是为了演示方便\n",
    "# 一般的选股都会是数量比较多的情况比如全市场股票\n",
    "choice_symbols = ['usNOAH', 'usSFUN', 'usBIDU', 'usAAPL', 'usGOOG',\n",
    "                  'usTSLA', 'usWUBA', 'usVIPS']\n",
    "\n",
    "benchmark = AbuBenchmark()\n",
    "capital = AbuCapital(1000000, benchmark)\n",
    "kl_pd_manger = AbuKLManager(benchmark, capital)\n",
    "stock_pick = AbuPickStockWorker(capital, benchmark, kl_pd_manger,\n",
    "                                choice_symbols=choice_symbols,\n",
    "                                stock_pickers=stock_pickers)\n",
    "stock_pick.fit()\n",
    "# 打印最后的选股结果\n",
    "stock_pick.choice_symbols"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上面的实现方式和第一节中讲解择时回测的使用时一样通过分解流程方式一步一步实现使用AbuPickStockWorker进行选股，目的是为了更清晰的说明内部操作流程，编码过程会显的有些复杂臃肿。\n",
    "\n",
    "实际上在编写完成一个策略后只需要abu.run_loop_back()函数即可以完成回测，在后面的小节中会进行讲解。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上面选股的结果将noah剔除，因为它在回测之前的选股周期内趋势为下降趋势，如下图所示："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BWJjZirHMJr8WZ4qIiMgW9F4xukgXyuaL+NdYODkU9gIwn9z7RGcyU+Af/cdneOnK3IbH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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112b3e0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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For4/aJScdLp6R2EUcwoje9Wo13006+1kj1w+7SvivMeJiIiI5knfO/9VVX1O\nUZRfAfCfVVXdVxQlPsbzipS4LOHUShqnVtJdl9UaGloQcOPmbldIg3dIKGCtQNzdrQW+256MS/6V\no+X2alIyPrqAhqBY7N1qA4bZfd1Z3R80Kk5h1LliFJM9yXSeFaNZbydzCjWrna+OYj45U+18RERE\nRP3q99X1XUVR/j2AfwDgfYqi/FsAN8d3WrMjlZBxz0oGuYQ/KME0TezX2gENJbtA2irXsVOpQ++o\nOupNHa9uHeDVrYOu77GUivmKIqdIGnRAbFgsdkIW0egYXgpEa8hqVLjzjDyFkSRagQv5pQS29+oQ\nBPhWjGapnezShVUWPeQzy/vciIiIwvRbBP0YrGGpv66q6oGiKDcA/G9jO6s5IAgCsuk4suk4LpzO\n+S4zDBN7Bw07vc4ukio1bJfr2N1voCOfAfu1FvZrLbx0p+r/HrAGxFotdu3WujV7QGzn7JywWGw7\n+bzLUQlzZNENE7qh4033r3mKTNMqhgA8/GARjZbOeUY0c2Z9nxsREVGYfougfQBLAH5VURQZwF8C\n6F6yoL6IooBCNolCNon7z/ov03TD2n/UEdCwvVfvOSD2xVf9A2JFAYjJ1h6WpVQMD5zL407pEKIk\nQBQE30pFSzfx7ivnBk6YI7+wpL6zxazbWigKgCyJiKfiqDU0K51OEhjbTZE06/vciIiIwvRbBP0a\ngPsBfALWm9v/HMAFAD83pvNaWLIk4kQhhROFVNdljaZuzzzy7z3aKtd8G/oBK6Ch0bJa3OpNHdt7\nd9zLnPk5kuS0ccWRjEv4b3/wIlKJ6A+IjbKjkvoM05pNtV9rYc9O5Bt3bDfRsGZ9nxsREVGYfl/x\n/kMA36uqqgEAiqJ8DsDfje2sKFAiLuGetQzu6RgQa5omDhuaNfuoUseXv/kqqoctaLoJXTe6mt3a\n83MAQMd+rYX/9CfPAgDSSdndf7S2nHLDGlaXk4jL0RgQO2+Oiu2WJREv3Crjb569g+29Ovdl0MQw\nNp2IiOZVv0WQbP/X9Hyuh1+dJkkQBGSSMWROxXDvqSz+5tk7iOWsgsU0TRiGaRVEhoF7ihncvLuP\nWkODpnfvBTqsa7hZDx4Qu5yJBybYFXIJSOLkBsQuCieE4YVbJV+gxavbB/iDv/wOmi0d3/P6Nf7s\naWwYmz4fGG5BRNSt3yLodwF8SVGUT9qf/xiAT/a4Pk1RIZtAqWLtQREEAZIkQJKA1VwaP/auB9zr\n6YaBcrU2KOFmAAAgAElEQVTp7jnaKtesGUchA2L3DprYswfEeokCUMglsWYHNKx6AhrGNSB2kXQG\nWpimVdx++Zuv4czakr3/S4Jstzc6LXVEx8XY9Nn3jLrJcAsiogB9FUGqqv5rRVG+AeCHAIgAPqqq\n6ufGemY0tIcfPOFbOfAe95JE0R0Qq3Rct3NArDeg4TBoQKy9R0kNGBDrbavzttlNekBsFDhzmiqH\nLeTSsb4CKMLmNTnHrf1fOhqe3AwngEGWRd9eo0Hw3WMCGJs+6754LXiaBcMtiGjR9SyCFEV5m+fT\nAwB/6r1MVdWnjvj6twD4VVVV364oypsAPA5AA/A8gH+hqqqhKMr7Afykffwjqqp+dri/CjnCUsoG\nSXs7akCstyjyptg1W/55Q5pu4s7OIe7sHHbdTjIude09GseA2KjwzmmSJcGd0wSg533jXdnrPB7G\nCWBoeuY/CQIQk0TfalHYnClGIxPNhzul4CBXhlsQ0aI76pXm/+75+CSAuwAyAM7AKmR+KOwLFUX5\nVwB+HO0o7V8C8H+oqvr/KoryuwB+WFGUrwH4IICHASQBXFUU5Quqqga/9U19Oyql7DhSCRnnTizh\n3Ikl33HTNFGttdyABu8qUtiA2FtbB7gVMCA2m4pZbXU5u7UubxVHq7lk5Fq9nNWdowrOsDlNTz+3\n2fO+6ndl7yimtzCy/4UJ6FwxslrqGI1MNB9OrWZw806l6zjDLYho0fUsglRVfQcAKIryQQD/XFXV\ndyiKch+APwPw/xxx298B8KMAfsf+/BsAVhRFEQBkAbQAXAHwVbvoaSiK8iKAywC+Ntxfh6ZJEATk\n0nHk0nFcPNM9ILa833CLopJnJalcbXQl2FVrLVRrLbx0O3hArLNi5A1oCBoQO6x+Cxvv6g6Anqs7\nR7W1hRnFyl4YE05SoAFvBthr2wcwYd2nAqxVJEEQ+O7xgmAr5Ow46r5615Xz+MRn1ru+juEWRLTo\n+u05+p9gFSxQVfUlRVEeAvC3AH4z7AtUVf2UXTA5XgDwHwH8IoA9AF8C8I/tjx1VAMtHnUxuOQUx\nYolYKyuZo6+04NbWlvD6gOMtzcB2uYa7O4fY3D20/rQ/3usIaPAOiH3hln9ArCwJWMuncKKQxsmV\nNE6s2H8W0lheive9/+jZGyU8+fVbAKzBtnsHTTz59VtYWkrijRf9LwSvP3UDstR9u393YwdvuXyP\n79jJ1Qy2dtttgc7XnSikj3z8vGUl03V749R5rhYTJwoZxFNxt5XOGchLk1MsZsd6+8+om/jMV18C\nAEiSiJ1qA5/56ktYXk7jzcpgq480Xv3cV8ViFvhvLuHJazdxZ+cAp1YyeOeV87wvqadxP8/QfJq1\nx02/RVAM7Xhs2B935yv39u8A/KCqqs8qivLTAP4tgM/DWhVyZAGUj7qhyl4NxqDffYxWVjLY2Qnu\nu6b+JETg/Foa59f8e5CcAbFOa513BalzQKymm7hTOsSdUvf+o7gs2qtH7ZWjNTvFrnNA7JeevhkY\nH/6lp2/idEcLyd3SQeBj8U7poOsxcfniCj5/zTomS4L7Pb774krkHj/ec/X6rvvyuPmq/5+od55R\nTBIhywJju8ekWMxia6t69BWP4XNf+Q5amhF4/NxK9xBnmp5+7qtiMYtzKyn8xHv88TfjfhzR7JrE\n8wzNn6g+bnoVZv0WQX8C4C8URfkD+/MfBfDEgOexA8BpTH4NwA8AuAbgo4qiJAEkALwBQPe6PS2s\nfgbEOkWRUySV9upo6f4XBk3NwGulQ7wWUCClE7JdEFlF0avbB5BEEZIk+OK9g9rWBgkt8La1VWst\nrGbiI2trG7VBWvCceUbe0WGd6XS9QhgoWrbK3cNRreNshYyaXveV0ya3u99EYSnOlkYiog79RmT/\nvKIo/xjAo7D28nxMVdU/GfB7/QsAv68oigZrJen9qqreURTlYwC+Ait6+0Oqqh75m7aQTUI3DOiG\nCd2whoHqugndHgxK869zQKyXYZqoHDT9K0flOrYrdexWGjBM/2PksKHh5t3gAbGiKLjzd5bTcTx3\nc9caEJu1BsQOGlrgBFbMwurhccI1AtPpAF8bHQujaCrmU7i72/3imhvpoyfsvorLgpvmGJNFpjsS\nEQUQTHP2ioatrWroSZumpzAy/B9bfxojb6WbhRe0ZNENA7tVO6DBSbHbq+F26bBr/lEvoiCgkLMC\nGmRRwO5+A82WgdXlBN76xlN44Fyh59fzMWNhYTSYSbQbdMajOx579CJfQEdM2H2VjEmot6yV2Zgs\nui1zJwspfOC9lyZ6jjR7otrWRNEW1cdNsZgN3bg8d8NYBMF65x5S+HV6FUq6YcAwzEjtOaLRkUTR\nTpRLAeedFLgWTMNEIiYiGZcgiiLqTQ31po6w9wgM03Rb77y29+q48WrVHUJ7nAGx/SbUzTJvOl1n\nbLe3MJIlgQEME+IUOlbiWB3FfJKtVBEVdl99+qnuwghgSyMRkdfcFUH9GKRQCi6WrFa8GVxEIw9v\nvLVmGIAJHNY15DJxFLJJe7aRgWI+DcMwoemGFWZgGmi0rI81w+h6HLR048gBsfecyGIpKdsBDSms\n5ZJIxNsPyEGit+dNr8LI2mMkuMURC6PxuHRhlUXPjAi6r65ev82WRiKiIyxkEdQPp1CSexRKhr0H\nqbCchFZvwfCuMOkGdJOFUpR5h5dKogjdDlM4qGtIxGXohuGmnImigLgoIR4Ddit1FHLWiwnTNGGY\nJjTdRDIm4uKZ5eEHxKZj7uyjW5tVNFpG1yrIUYNV51XYPCMnmS7mDntlYTQunB00Ox65fDqwTe6R\ny6d5PxIR2VgEHYMoCBAlAcm4jHQy+EfpFEq6bhdIpl0gOcUSC6Wp8aa9pZMyqgdWCrxuWMWQJIrI\nhNyvDkEQIAkCJNEaKPqPvu9e9zL/gFhvxHfIgNjDFqqH3QNirXOxwhn29hv4q/U7YxkQO4ucZDpv\nXLosCYjJklsUsZXu+Dr3nnCjfbR52+TKB02cLKTc4ajO/VZraLi7sYNvvriNC6dy+OHvv5f3JREt\nFBZBY+YUSj1XlEL2JXmPsU4aPW+8dTJu/VM4rGsQAKzmEnjjhQKe3dh1r19vajisa9BNEzuVOjJJ\nGYm47Ls9L1EUsJJLYiWXxAPn/Ks32VwSL768YxVFTsx3pY5SuY5qrdV1rtbjQkejBXz2r15yj0v2\n91jz7D9aXU5hLZ9ENhVbyBf/mm5C0zV3xUgAIEmCPcOoPc9okYvHQV29fjv0OF84R5PTJufdrPz4\nE9YEilpDQ9nzJtArW/ssaolo4bAIigBRFI58QdarUHKOs1AaTGe8dTIuIxmX8e4r59yWs7PFJTz9\n3CZes9PjMkkZJoDqQROVgyZygFsIhcViB4nJEk4W0jhZSHddVm9q+MYL27h6/ba9D8nef6R37z/S\nDRNb5VrgvJB4zAqBWM0lfXOQ1paTXQNi55kJpzDSAc+KkSjahZEdge7sM6JunB00G4Ja3d7hGRTo\n3I/7HW+0aHYrMItaIloki/NKaMYNUigFrSSxUOrWz0BQZ1bOJ7/4fNdQ1MO6tTJ0Zi0z0uS2ZFzG\nW994CmvLSd+5PaQUcWZtqT37yDMgdnuvZoU2eDRbBl7bPsBr2937j9JOKINdFK26q0hJxHstW84R\nwzDRsFfXHFw1CsbZQdEX1rK4vJzGuZUUgPb9qHUMk3aKfxa1RLRIWATNEadQiiH83Wxvup1hmNDs\nP40FLZT6HQjq3T8EtFeNRAH4sXc90PNrg6Ku37KSGfrcllK9B8Ru79VQKlsFkjUgtt4V+X5Y13Cz\nHjwgdjkT98R7W611a7kkCrmEGxQxr/pdNVq02O5eG+0pGsJaFp+8dhM/8R4FQPt+lCURmmeQcTYV\nA8CilogWC4ugBWMVShJiPa4TtJLk+3MBwxy8+4c6j/cSFnW9tJTE6ZAXHMPMBxIFAfmlBPJLCbz+\nnmXfZbphYKfScEMZvCENe3YYhNfeQRN7B03ceK3S8T2AgrP/KJfEar69kpTLxCHOcUGw6KtGnB0U\nfWEti3c8Q5md++tzf/USNu5UIUsisqkYknZ7LItaIlokLIKoiySKkET0LJTc1LuwQskw5mrgbOf+\nIe/xXrwx3F5/ff01/OjbLnYdH8d8IEkUUcynUMynui5rarpbHHUWSYd1zXddw4Q7IFbtuJ2YJAYO\niF3LJ5FO9D8gdpb0WjVyo7vnaNWIs4OiLaxl8VTHqrNzP7b3D7GoJaLFxCKIhtJP6p0zQ8caNGr6\n5ig5rXjmjLTf9bN/qNMLt8p48dYeNHvekDdNbnsv+F3bsKJpXPOB4rKE06sZnF7tbs+rNTSrKCpb\nyXXb5TpKdopds+XfU9BrQGwqIQUGNKwuJ5GIzd/+I8Mw0TRMND3tRou0akTTEday+M4r5wOvz6KW\niBYdiyAaG+8MnViPR1pn0t2oCqVh2sp66Xf/kPO9P3/tFeu8TUDXDV+a3Npy96oM0L336Kjj45RK\nyDh3YgnnTiz5jpumiWqt1S6K3BWk4AGxtYaOVzb38cpm9/6jbDrmK4qcj1dyiblKagtdNRKsTemy\nLEIWRcRkAZIkznVrIY1HWMvim5UTbkQ2ERG1sQiiqeun/c4plPpdUerVVgYMtqIzDGdFxzuEFQAO\n6hoScRlvvXwm8OuG3Xs0SYIgIJeOI5eO4+KZnO8y/4BYO6ShjwGxGx0DYgUByC8lAhPs5mlArGEC\nTc3wrRoB7eG4nUEMo+aNVI7LIgABTU1345W5UjBbori6ExTbHbVzJKLFxCKIZoJbKPW5ovStF7ch\ninADHJw/v/TMLTS09kvxUey5CeKs3HiHsOqGAQHAu6+cwxsvrmJnpzu6eti9R1HhHxDrv6ylGdip\nevcetZPsOgfEmqb1M9ytNvDCrT3fZZIotCO9c0ms5VPuPqSlORkQ6x2O6xAAQJZR2W+MpKXOG6lc\na2h41X7MFrIJN14Z4PBMGl5YbDfAxxURTR+LIJob3hWl3WojMM757u4h1vIpmCbsVQkr6e6Z57eg\nnC/AGFGag3dFx4nTBoDVXKJnsTXM3qNZEZPFngNiS5WGtf/IM/toq1xHo6X7rqsbJjZ3a9gM2ATu\nDIhd88w9mpcBsSasvVe1ZnhL3SBBDN5IZe/wzGqt5aaFcXgmHUdYbDcfV0QUBbP9qoDGapbbGMKS\nkgRBsP9zjwAAKgctnLDT08Ja73Tdigfvp1A6zorOIHuP5kUyLuOeNRn3rPkDGkzTxH6thVLFs4JU\ntleQKvWBBsRmknLH3iNrFWk1l0RMnt39R0Etdf0EMXgjlb3DM70fc3gmHUdYbDcfV0QUBSyCKNCs\ntzGEJSWdLS6h3rGyAPiHBA7SehdWKM3zis4kCYKAbDqObDqO+0517D+yB8RulWtudLfTZrdb7R4Q\ne1DXcFCv4uW73ZvElzNxO7nOn2JXyM7mgNh+ghgK2QS296wXo97hmd5ACg7PpOMIezOKjysiigIW\nQeTjrP48u7EDE/AN0gNmp40hLCkJQGBxNOiQwH4KpWI+ie/7rpOBhZI0Jxv7p8k7IPb+s/7LNN1A\nuWoFNGx5whmOGhD7nVc7B8QKKOQS/tlHdpvdLA6I9a4afc/r19zVylRcQsV+cyCTlGGaJgRB4PBM\nOpawN6P4uCKiKGARRC7v6k9LNwB7c3oBcAuhWWpj6JWUNIkhgb0KpeJqBpJhjKT1jrrJkmgFJuRT\neBAF32XNlo5SpV0UbZWt1rrtch2Hjc4BseaRA2LXfENiZ2dArH+1EsilY4AgoKUZWM7E8fCDJ3B6\nJYM9J4hBFCHLwkyujNF0hL0ZNQtvpBHR/GMRRC7vJlZve4x3o/Q8tDFEKUb2qBUlZ+CsrtsFkl0o\n6bpdLLFQGlg8Fj4g9rCuoVSp2fuO/BHfnTHWvQbEJuOSryiK6oDYo/aftXQDLR2+ljpBsApASRIR\ncyK8Zc42omBRer4lIvJiEUQu7ybWpVQMZTsy17tRmm0Mk+UdONsLV5RGI52UkU5mce5E1nfcNE1U\nD1v26lHNF/G9U2l0DYitN3Xc2jrAra3ugAbvgFg3xS6fwkp2NgbEmnZLHTQD3t0ezmyjmOyfb0RE\nRBRFLILI5d3E6sQJ79daEACcLMxWOtyiGUWYAwulcIIgIJeJI5fpHhCrGyb23AGx3ojvwQfEFpYS\nWMsnsbqcwponoGE5E/0Bse3ZRuHx3TGZhREREUUDiyBydW5iTSVkpBIyHnv0IoufMZtEHHm/rXcs\nlAYj+QbE+lvLfANi7Wjv7Uo9dEDsTrWBnWoDeMU/IFaWrO9xem0Jy2l/1HeUB8QGxnfb7XTOSlFM\nFiBJbKcjIqLJYhFErnnexBrlmUdRiSP3tt4Ns6JkGCY0w4RpmF2rH4vqqAGx3lWjkmclqd70x7hr\neviA2ERM6g5nsD+P4oBYM6AwAtrtdN5Wun6GvhIREQ0jer8haaqmvYk1qFgBcKwCJipFRphZm6rO\n1rvRSMZlnC0u4WxxyXfcNE0c1LWu5LrtvRp2qg20OoqHRkvHq9sHeLXHgFhrMKzdZrecjOSA2HY7\nXfuYALs4ksWuAomIiOg4WARRZAQVK//5z5+HgHZE9zAFTFSLDKfg++aL25AlsWsm0yzFkXdi6t3w\nBEHAUiqGpVQM957yBzTkC2m89MquWxRteVaQytVG3wNiBQDLS3FfW52zipTPJiIzx8oEoBkmtKYO\nwJNQB7SLIsZ3zwzvm1xxWQQgoKnpkVudJ6LFwCJohkS5pWsUgoqVfXvfRLKjrWeQAsabeuc/Pr0i\n4xl10y3mnDjyzplM8xBHHqaf1LvAQsn+2FlpWrQ6yTsg9vVnl32Xabr1GPJGe2+V6yhV6qh0DIg1\nAZT3myjvN/Hiq/79R6IgYMUdEOsvkrIRGRBror/4butPMfKhEtM2id8t3je5ag0Nr9rpo4VsInKr\n80S0GFgEzYiot3SNQlCx4o3n9l+3/wLGm3rnPz69IuOL1266H3vjyL0zmRY9jrzfQslZQdINA5q3\n7c4wFqpIkiURxXwKxXwK6BgQ22jp1tBXT2udE/NdCxgQ61wGlH2XxWQRqznPylG+vf8oCgNiw+K7\nvSl1ssgwBq9J/W7xvsm17wkF8T7nTXt1nogWC4ugGRHVlq5R8hYrtYaG/VoLmmZAEATUG5pvNWiQ\nAqYz9c57fFrulNr7N7xx5LpuMI58AIIg2PtEAKB7CKmzemQY/hUk3WjvU1qEOikRk3BmLYMza0ED\nYltu0eMNZ9jeq3ftP2pp4QNiUwnJF8oQpQGxQSl1QLTCGKa10j+p3y3eN7m8b255P57lFmAimj0s\ngmZEFFu6Rs0pVmoNzV0ZEQUBENDVKjZIARPF1LtTqxncvFNxP3fiyE8WUvjAey9N7bzmjSgIEOXe\nL2i7QhwWrOUunYzhfDKG8ye7B8RWDlv+4bDlOkoVq9Wu8+dSa+h4ZXMfr2zud32PzgGxq/bHK7np\nDoiNShjDNFf6J/W7xfsml9MC7Hzcvs78tgATUfSwCJoRUWzpGjXnl/1v/dlzgN2+kk3FYMJaJdmv\ntZBfigMQ8OmnbuDq9dt9FzPTTr3r9K4r5/GJz6x3HV/0FrhpOCrEwZmd1Fkc6XYk+LwGOAiCgOVM\nHMuZOC6eae8/euFWGf/f3960/v66AU23/swvxXFY17C33xxuQGyunWI3zQGxoWEMAuwABm9hNJow\nhmmu9E/qd4t3Rd7bApxNxXzXISKaFBZBMyKKLV3jcOnCKpYzcWTTcd/xVEJGvamj3mq3Tszyvqg3\nKyew9+jFSK1OUTBRECC6LXfBFikS/OnnNj1tiO0CYDWXwM/86APWgNhK3U6uq7lzkLb36r69IEDH\ngFj4AxokUehKrpvmgFjTdMIY/C11zn4jSRq+OJrmSv+kfrd0rsgXluKAIKDZMvj8R0RTwSJoRkSx\npWtcwt6ZbGk6kvHuV6Kzui8qaqtTNLx+IsGdfUi623ZnzORq0q79Dn7Y8Zgs4uRKGidXggfElvbq\nWN/YwdfVLSvMwl5JMjt+BLoxwIBYO6BhbTmJZHyyv9YMTxiD1yBJdZ3Pec6eSAHA40+sj/W5fpK/\nW/icR0RRwiJohizKL5CwdybDhjvO074omk++AIdY9+WdRZJuGO2PI7aSVMgmUKp0F0KFbOLIr03G\nZdxTXMJT33oNuUx7tdeKQwcySQlven0RpYo9KNZOtNN0/9+/54DYVMyzejS9AbFHJtXZ/8VkAT/w\n3afwx09tAIBvT+Sk4qMX5XcLEZEXiyCKnLB3Jq9evx3au84hfDTL+i2SCstJ6I2WL91O1w3optm1\nkjIuDz94Ap+/9krg8X51riZZcehAs2V03Y5hmqgcNH3R3qW9OrbCBsTWWjiotfDynWgOiA1Kqivm\n03jXw2fx9ec2sbV7CEkSuoYnz+qKNxFRVLEIokgKe2cyaIXo7IklDuGjueYUScm47Eaqd3IDHAyz\nKwZ8lEl395/NA7D2Bu1WGyhkE3j4wRPu8X4MsprkDIjdKtewcbvifs/3PnIBF07nsFttePYdtZPs\nhhsQ60mvy1sFUi49mf1HrzuzjNedWcZvfPrv3PuppRmwAzJxd6eGlqZzvhER0YiwCKKZ0WuFyMEh\nfLSo+glwGFWhdP/ZfGDR88Ktcl/F0aCrSS/cKvuuX6o08Plrr+DdV87h/rN5e0CsX7OlW8Nh9wYd\nEOsXk0VfrLe31S6dDFi2O6bOAtE0rQKukIm5x7vnG0Vr+Ou0Zh4REQ2CRRDNlKAVok8/1V4d4hA+\nonD9FEre/UneQknX29HgQXVSWKECoKsQGnQ16ennNkOPh31NPCbh9GoGp1d7D4h1VpBKPQbE3i4d\n4nYpaECs7Nl75J+DNOyA2H4KxKD5RkC7OJIkATG7ODIn1Sdpm+bMIyKiQbAIopnHIXxEo+PbnxQi\naMDsN57fgiCga29SWKEStpoU5KhEukEdNSB2e69mD4ZtryLtVBowOv5ytYYWOiA2l465oQxuoZRP\nYSXbe0DscdoNneIInuLIlA+wV675Vo5isghJFALb/I67ijPNmUdERINgEUQzj0P4iCbLGwnuvGj+\n9su77oDjhB1lb5rA3kELmaTcM+3uqDa64yTSDcI7IPZ1ngGxgFVglPcb2C632+pK9ipS0IDYymEL\nlcMWNm5XOr6HZ0BsR5HkDIgdpEDsR9DKkQBActvprAJJfaWMP/nKhnudYVZxpjnziIhoECyCaGZ5\n37FMxkRAECAKAofwEU2It/XJWYV1CplkQoYgACcLqa7hx96Wu/WNEr7w9C3AtNrsgtroRpFId1yS\nKGA1Z0VtKx2XtTTD3X9UsleRtu3PD3oNiH1legNiTcCe0aQD0AEAf/H1W74wBggCBABPfeu1vp9D\nw+a8cTWeiKKGRRDNpM6+83rLaoF77NGLLHiIJsTb+uRdhfWGkgStwnpb7r7295t2PLX/Bf76jRK+\n77tOQtNNfO/9RSRiIv7m2bvY3mtgJRfHQ8pgiXTjFJNFnFpJ41TIgFh371G55rbYbZZrXfuPBh4Q\nm7NS7EY1INZpL3TCGJzexjulQ9zdPYQstkMYZM8qklfYnDeuxhNR1LAIopnEvnOi6fO2PjnR3fu1\nFnTdwMlCf/tJwtqntvcaiMkSYvZvqStvOIUrbzjlXu7sRXKS7bxhDpphwgwJcJi0ZFzG2eISzhaX\nfMd/7wsqtvYa0HQDum7YqzIGTNPaczXUgFi7KPIOiB1Er7ZD0wRauoGWDjgrR4DdVicKkGWrIHrd\nmWW895H78Nfrd7C91+BqPBFFFosgmknsOyeavs7Wp1TCmmN0spDCB957aajbaB/v/QJeFASIsrN6\nFJzi4AQ4BEeCW39Oq1Aq7zchiQIkUQI8SXKiAHzgvZewd9D0DYd1Uux2q42u8IleA2ILuSRWsgl/\nm10+hfxS94DYYdoOTQCaYUJrttvqTq1k8CNve50vre6wrrmrR+KEBtMS0XgEBai8o5g9+gsjZqxF\nkKIobwHwq6qqvl1RlBMAPg6gAOs31j9TVfU7iqK8H8BPAtAAfERV1c+O85xoPrDvnGj6RtH6NM72\nKTfAocd1dMOwAhs8UeC6vZrUGeAwSr1WXURRQCGbQCGbwP1n/ZdruoEdd0Csvf9oz0qyCxoQu1Op\nY6dS7xoQK9nfY205ZQ+GtVrtHrl8Ct/e2EF5vznUIFyvoLQ6wCr0ZMlKqJPsP51iKSqzjogoWFgM\n/vJyGudWume2RdnYiiBFUf4VgB8H4Kzd/xqA31VV9Q8URXkHgAcVRTkA8EEADwNIAriqKMoXVFUd\nLveUFgb7zommL2yA8SCtT6O4jeNwCqUgboCDWyQZns+NvgbLhhk27EGWRJzIp3Ain4L1nmJbo6W7\nq0ZOkVQ+aOJO6bBrQKxueAbE3vR/j7gsYnU5CRPAxu0qqoctN6ghnTz+ywbDBJrufijdd5koCpBF\n/xDYGFePiCIjbDvCk9du4ife0xkbE23jXAn6DoAfBfA79uc/AOC6oihfBPASgJ8F8E4AX7WLnoai\nKC8CuAzga71uuFBIQ+41xGIKijO4DDjL3lHMYnk5jSev3cSdnQOcWsngnVfO483K5NKijouPGRpG\n1B437yhm8Y4r943lNp5RN/HFazdxp3SAU6sZvCti/8ad/Uiabrr7epyVJU03Qlvtnr1RwvUbO9B0\nAy3NQEyWcP7kEt56+QzeePF4xd/pk7nA4/u1FjZ3DrG5Y4UceD9utvwBDc0eA2IzSRknVtI4uZLG\niZU0ThTsjwtpNxp91DRY7Y/OjCOnrc4JaBhlah5ZovY8Q9Gxu99ETO5+5+jOzsHMPW7GVgSpqvop\nRVHu8xy6D8CuqqrvUhTlfwXw8wCeB+Bdo68C8A9nCLC72/3EPE3FYhZbW9Wjr0gjdW4l1fWuw6zc\nD3zM0DAW6XHT2XJx804Fn/jMOvZmIAFSgNWC5yuS7Fa7b7+8g8/9tbX04k1X++6LKzidT2Jnpzv4\n4KlRxgUAACAASURBVDhWVjLubeZTMvL35PDAPe1CyTsgtrRXd9vrbpcOsNfRXgcAB3UNG69VsPFa\npeuyXCaO1Zyz76gd8X3UgNjjsvZWtVvqrM/ZXjesRXqeocEVluKB2xHuPZXDX1576VjDlsehV2E2\nyWCEEoDP2B//KYCPAngagPfssgDKEzwnIiKKoHlIgBRFAaLYTrgDgG+9WEJMFmHa6Qam/b9vvbiN\n73ndmtt2Zxjmsdrt+hU2IPaTX3we23t1a3+UJ71OFKwWwqACqXLQROWgGTwg1t5/1DkHaXkpfuxC\nxdnP1eyIHAes/UeipyiSvR+PsTAjmldh2xHuPZML3CsE9D9sedImWQRdBfBfwmqPexuAZwFcA/BR\nRVGSABIA3gBgfYLnRFMSlCwS1X8kRDR585oA6fy9nBYuwf7fbrWJXCZ8qKyum3YseDsOXB9jlbRb\nbXjmOYmoNzU0WyZahoEHz+fwpvvXUMgm+x8QW2lgp9IAOrZByZKAlVy7KPLOQhrFgFjDBAxnKGxH\nQIMT7+201UnuHCTrYyLqFraP82vqduD1o/zG1SSLoP8FwP+lKMpPwWqB+6eqqu4qivIxAF8BIAL4\nkKqqs/0bjo4UliwCRPfdAiKarHlNgBzk7+UdKhsUcecNbtC8KXd2oXScEsmbXldvaqjaKz+SJKJU\naeDJr7+Kd185h0sXVgAAL9wq4+nnNqHrBu49kcHFe5aRTsawXa656XXb5ToaLX8QgqZ7B8Tu+i5L\nxCRr7lHOMyDWLpBGMSDWjfc2dDR6FEjWn+02O+5DokUU9ua1c/xb3ylBEgVkUzF3WDYQ7TeuxloE\nqar6EoDvsz9+GcB/EXCdj8OKzqYFMQ9tLkQ0XvOaADnKv5e3SEoEzErSDQMr+RT0RqtjVpJdJPWo\nkrzpdYf1drJcxpMO9/Rzm7j/bB4v3Cr7ku7KBy088/w23n3lHN708Dn3uGma2K+13PS652+V8eKt\nPbfdrlOjpePVrQO8utVjQOyyfxVpJZcM3LQ9KG+BFMRJsWuvIrFAovGIQudM2JvXL92p4uvqFgAg\nJolotnTsVhsoAG4hFOU3rjgslSZuXttciKi3QX6ZTzs6e1wm+feSRBHxmIRUIvhXfVdwg2cV6QF7\nNtDTz21iq3wISRKRScpIeFZgdqsN9zpBnCLJIQgCsuk4suk4LpzO4YVbZazkrBdIzqqWphtIxiTc\nezrnttnt7g82IHZ5Kd7VWhc2IHZYhmGiaZhA0D4kT4HUGdrAoAYaRFQ6Z8LevP7SN15FNm218eYy\nMWyXrTcNqrWWWwRF+Y0rFkE0cfPa5kJEbZ0Fz9kTS+47hkB/v8wvXVid+aInSFT+XkHBDV6ry0lc\necNJfPxPn8VmueYWIs6fhWwCQLsY6hR2POhy7/4jUQD+6++/z73MHRBrt9Ztu7OQaqgcduw/AlDe\nb6K83wwcELuSS2A11x4QaxVKKeTSx99/5OhZIHFQLA0gKp0zYW9e79dabhGUTsaQz1qrvbpu4GQh\n+vu9WQTRxM1rmwsRWYLevVzf2OnqFQe6f5lHofUjqib9s7EivIG3f+89Xc/Zpmnih958DwrZBE4U\nUtgs1wDTKkI6i6Qw3n1Hncc7z6M9INavPSC25hkSa31ea/hb2XTDxFa5bnUdhAyIdYoib5vdKAbE\nOvoZFOsvkKw2Ow6LXSzOv/VvvrgNWRKnvs8m7M3rpZR/s2IqISOVkHGykMIH3ntpUqc3NBZBNHHz\n2uZCRJagdy813fC1SDi8v8yj0voRRdP82Rz1nB1aJD10FoVsor0XyW610+z9Sd59R14PP9j/QNxE\nTMKZtQzOrGW6Ljust9orR+UativtIqml9T8gNpWQfUWRN+Y7HhvdgFh3BQlAZ4EkCPDtO2rHfDPJ\nbt54/63LkghNM6a+zybszeu3f+89vhV+7/VnAYsgmoqotIMQ0egFtU7IkghN724P8v4yj0rrRxRN\n+2fT6zl7mDe2TNPEai6JTFLGX63fwVa5jpVcAg8pRbz+nnzo1w0inYzhfDKG8yf9wxIN00T1oGlF\nepetwmjLHha7U2nA6NiAVGtoeGVzH69s7nd9j1wm3hXOsLqcRGHEA2JNE/aspiOS7DpmIUkigxpm\njfff+lIqhrLdNjrNfTa9/o3fdyqLq9dvo3zQnIkWOC8WQURENFJBrRNLqRj2O+bHAP5f5gxN6Ra1\ntpigcxumPU8QBMRkAW9+4ATe/IB/5ceah9ROsRtl9DcAiIKA5aUElpcSvgGxgJWoV6423fY6p8Vu\nq1zrOSD2xmv+AbGiABSySX84w7K1FymXOf6AWC9fkl1AgSQ6+47sqG+ZBVKkeZ8HnVCTKOyzCXsj\nxDleLGaxtVUN+MroYhFEREQjFdQ6kUrIeOTyadza3A9dLWBoil9YW0y6paOpGdB0A0upGNY3SpGJ\nzAWO354nCgJEWUAMwSspbqKd3k620+wC6bgk0dobtLqchNJxWVPTsVNp+AfE7llDYjsHxBomUKpY\n85GCBsRas4/aAQ2rdpGUScojLUxMwE7+OyLq27MPqdHSoRsG2+ympPN5cNb22cwSFkFERDRSw+77\nY2iKX1BbjGGYqBw03VarmCROfN/U+kYJv/Vnz2G/1upanTpOe16/K0uSKEISAXTsx/HGbI9jBSku\nSzi1ksaplXTXZbWG5gtl8IY0BA2IvbtbCyz4k3HJv3LkWUkaxYDYTkH7kKRyDTvlutVm591/xDa7\nieDz4OSwCCIiopHztk44L24//dSNni9u5y005bhpbkFtMaW9OkwAsjy64mMQzgrQfq0FmOjatD1s\ne94oVpa8MdtBdMNwCyPNXUWyjh23QEolZJw9sYSzJ5Z8xzsHxG6VayhV2m12natX9Wb4gNgle0Bs\nZ5E0qgGxnUy09yF1ttkBYfOQmGZ3XPP2PBhlLIKIiGhsBn1xOy+hKaN4UR/UFiNJAhKShGJHXPSk\n9gY5q1NOe57D2bQ9bOviJIIf3BWkAO3VI8N+4W+1Gx63w04QBNzZOcTTz21axWI2gbd810ncfzYP\nwzBR3m9YRVG5vYpU2gseELtfa2G/1sJLUxoQ26nXPCRvml3nPiSuIh1tXp4Ho45FEE0d54IQza9p\np5pNyyj+3kFtMU77WadJ7ZtyVqe8qVUA3OS/YVt2ph2K4cxE6myxMzyrRk5h5ER89+OFW2VfDHip\n0nA/v/9sHis5ayXn/rP+r9N0AzuVhrX3aAwDYteWU8iOcEBsJ2+aXc9VpI6VJImR3zRBLIJoqjgX\nhGi+TfvF7bSM4u8d1BbzkFKc6lwOZ3XKm1rlBDQ89ujFoZ+3oxqKIYoC4qKEeEfd6SuO7Ja6lm50\nFUdPP7cZeLtPP7eJ+8+GR4HLkogThRROFAIGxDZ1u6Wu5muz296ro94cbkCsd/5RIhXv8RMZjZ4z\nkQB/ceSuIFmfs9VuvBbpjWkWQTRVi/ouMdGiGPWL21n5BT2qv3dQW4wzl2Ma+wW8q1NOahWAYxVA\nnbfbeTyKQosjs91S19INlPcbgV+/Ww0+3o9EPHhArGmaOGxo1uyjij0g1hPz3dL7HxCbTshd0d5r\ny0ms5kY7IDaIL/I7gBP77aweib4/hyuUjnpe8V4el0UAApqaHunnIK9+nzcX7Y1pFkE0VYv6LjHR\nohjli9tZ+gU9zhf109wvMK5N2/OyGdyK95YQk4EUgNOrGdzdrcG0N/iYJmDCxFouCVEU+m6r64cg\nCMgkY8iciuHeU90DYisHTTexruRJsQsaEHvY0HDYx4DYVU9Aw6gHxIZpx36H/+yCC6V2gSRJAr79\n0g6uXr+Nl+9WUT1suUEjnc8r3uedWkPDq3YBW8gmIv0c5BjkeXPR3phmEURTFdUWCCIajVG+uJ2F\nX9Ded1yTMREQBDRbxsy+qA8yriJs2NuN8uqgUww7e2+sPwT80ENncSKfgmFYK0Zua51mQDOMrlCE\n4xIFAfmlBPJLCbzunuABsVt2KEO1ruG1zX1s79VQ3h98QGx7BWl8A2KPclSh5OzVEgDsHTShawZ2\nWjry2QSSCRkCgK986zVcurDqe97xDnx2wkCAaD0HdRrkeXPR3phmEURTNWstEEQ0uFG9aI76L+jO\nd1zrLav96LitYhQu6quDnW8CxGUBgIBPP3UDV6/fdgu2REeLmaa39xnpumH/efwo7yDeAbEAsLKS\nwc6OFdHtHRC7Xa75ZiEd1DXf7XgHxD7fx4BYZx/SqAfE9sPZq2UC0D1tgtXDFmKydV/cuF3Fr//h\nN/H3L+9CkkQsJWNoaTqcO6Gl6TBNE4IgROY5KMggz5uL9sY0iyCaqnlpgSCi8Yv6L+he77g6f0Zx\ntWKWdf7Maw0N+7UWfvOJZ/HGCyuR+Dk7bwIMUrA5aXUJ9C6OnFlHI+yq85nUgNjO1jrn8/+/vXuN\ncew87wP+PxfeZsjZ4e6OZnVZaSXbemVrq0SRsrYjy5LrJnZj1CqsD70gKRK3rlW0cY0UdYo4QT7E\naSCgTRslSFTICVIobhq0sqBASV3HaWBbchvJUlN5pObVbVbyVrO7M7PDWXKGt3Pph8Nz+JI8vM4h\neUj+f4CgGZKzPMM5PDzPeZ73ecYxIBZoXZNl6HoQCNmO9/9KzcJhxcLOftW733KwX6o2Unlu8HOW\n7QJwsbaaxl6x2rJGSf06qiBvlKznMMfNRbswzSCIpo798IloEHH/gO52xfWtSyVcinG2Ypapr3m5\najXbdmvxe52jKOfsFhy1d6vzyuoGb+U9iigHxF7YPsCFHgNi1dK6E40GDUdZf5TPpbB71dtXltIm\nigde2Z/fnvuwYmE5bXbcDyUX598PAD9061pH4KfSdQ2G5q1F8tuDD9vIYdSs5zDHzUW7MM0giIiI\nZkLcP6C7XXGtWzbSyc6OWnFeRzAr1NdcXa+hniDH5XUeZznnIN3q/CDJbgyGHVd4pGkacktJ5JaS\nuPnaldbtaRsQ669D2tmvoDDkgNjVXCo0g7SaTfUNKu6+7ZpgXpOfbTqsWMhmEjixkkK1biGVMDvu\ntx0HN6wtA5qGuuUgn0vh7tuu6dnu3P+9HbjoFiepbcHVTJI6O2nUIHrY4+YiXZhmEERERDNjkA/o\naS2U73bFNWGGX7GO8zqCWbCxuYv9UhVbuwcwDR21uh0svlcHysbldZ5GOafara6dpTRksJUs0jjp\nutZ3QOzOfrllOOzOfgXFkAGxe8Uq9opVvHYhbECs2pyhGShdvHKAF+Q29opVpEwtCGauP7ncEsz8\nwTdeDTJFgBcIpZMmTqyk8Pf+xq2Rvy6DtAV/Z+cAbuNraIDmfYXLe2U4jtsz8FukwGYYDIKIiGhu\nTGqhfK9Aq/2K6zMvbcV6LdMsUv/Oq9kUSuU6HMeFkdCxupwMunYB8Xmd41bO6ZXWdQbox48vwa1Z\nzbK6RhZpfIV1ze3pNSB252ozKNopNNchhQ+ILYdm3rTG8xiG1vj9NXzojmtx53vWgplXQGumSHX3\nbdcc/RcdgYtmCZ/r39D4i6xmk7hcKEPTAEPzW4A3yuw0ddjs8GuT4tx5MQoMgoiIaG5Moo12v0Ar\n7HnidPI7D9S/sz+01W+KoAZAQHxe57iXc/oMQ0cqafRtyjDOjnXtUkkD159cxvVHHBDrAqjbTqMs\nzQuenv7OW3j6O29hKW22rD8Sp4/h+5dLOKxaOLGSHqjsbZz6BWauC1iu67Xps8IzerqGlrVIhuEF\nSmaj5E7NJsW982IUGAQREdHcmEQb7WE7ks3Kye8sCfs7Z1Jeq+X1fKZnO+ppUoNk/yr7k996cyau\nsg/asW6SwVG/AbHFgxq2GwHRn73wfdQtr+TPtju37rBi4e1KCW9f6hwQe1C2cFCx8PLmlZb1R/mV\nVNBMYdz8AOy7f3UZe8XqwOuRVI4LOLYLy+5Sdqc11ibpOv78xf8H23GhwZ9v5b3ecVljFwUGQURE\nNDcmse5ilI5krMmPhh84XN4rw4W39kfN/Ny0nsVDD5wd+ir2pMt+5ukqe6/gyGppyjC54Ajw1kMd\ny6ZwLJvCu68/hjff2Q/W+biuN0jVsh2kTAM3nsp55XWFCvYPOgfE7h/UsN9jQGz72qNxDYh9zw2r\nY81GuS4afy8b24VySOt1F1u7h9gvVYOSO7PR8c6NesLvBDAIIiKiuTHudRcbm7vYP6ihVK7DNPSW\nK8px7Eg2T9TAYTmTQKGxMD4PBIGQ/3cepixyGgHJJMo2p63bmqOwWUeW43R0houaWk6mNUrATEPH\nx86dDgKL1y4U8Nwrl7CzX0EqYWBtNQMXaHSw6z0gVoYMiPUHwqpldtMaEOt77UIhyCYlDC9bWred\nlq/zuRQSho5qSFndajaJcs2GX07os3UDhUI5WJcUNi9Jb6xTigsGQURENDfGWXrmnyybhg64gGU5\nqFtOUFcfx45k86R9HRDQbKF806lcy995mLLIaQQkkyjbjKtumSPbcWBZXnBk2c1ZR1HpV0722oVC\nECQZhg7LcbF15bAlSCpXLWUobHP90c5+GbV6a8Bg2S4uXjnExSuHHdviD4htCZJWMzi5kkYqpJ1+\nVNTfsVKzgvlH6ZSJStUL8FaWk3Bc734NQKptYG2v5hB+K3B0H5kUNHBobweufj2pAJFBEBERzZVx\nlZ75J8vqCbhle1ew8yupWHYkm1Vh5WntgYPfEEHXNDz0wNmW+4Ypi2z/d/01Xlu7B3j0qY2xlMZN\no1123Bm6DiPZGhy5rley5q/l8brVOSFlWoPpVU723b+63PV2/2cyKROnr8nidJcBsdtKg4ZRB8T6\nDQuW0wm867oV3HZTPpIBse2/46GS1Too12E0miIcVCykGi3BU6aG7FJy5DVIYfwGDt3agQPDNXA4\nCgZBREREA1BPltWOZIVSNbYdyWZRe3na+YtFbGxege24MHStYx1QWOAwTFmkGpCoa7xMUx9baVzc\n2mXHlaZpSITMORpH1mivWB3q9vbt9AfE3nJd+IDYZgapmUUK+7dtx1uvVKtX8V25je/Kbe850D4g\ntjkkdpABse2/i63MhHJcBKGnenvddscyF6mfgRo4aEor8EYGyV+fNGizCgZBREREAwi7ep9Jmchn\nkziWTbHzW0TU8jQ1KNE0wLLcruuAVO1lkb06xakBSancHMqpljcOUho3THMFdgw8mu5ZIy9zZDsu\n6pa35sh2BmvG4M/hCbv9KNQBsTjdet9X/lTi8l4Flu2geFjzMkYuQre3/4DYVEvnuhONBg25TCIo\nL1N/R0PXYTdaiKvxkxpAHPV3H5d+2SQNCAKjtbVc6GMABkFEREQD6Xb1/hM/coYnrxFSM25qUOLC\nuxLebR1QO78sctC5Ts+8tIWt3QOYpt6Rbeq3Vqdb9iq3lMBN6+HbyY6B0fKyRhoSZmsWQA2O1G51\n7SVq0xiQul+qIWHqSJg6SuUaTD8a0YATKxlYjgPHdnHnrWst65DCB8RWQvfTZELHyRUvKNJ1DYcV\nC6ahIZ0ycHDoBUHLmUSwJmg53To0dha5aGbUemEQRERENABevZ8MNeNmKcMuTUPvuQ6om0EaH/gB\nyaNPbYy0Vqdb9qp4WI99++v2DNYn7n0XTh/PTHuzItMtOHJc15trZHlB0e1njgMYfQ6P2nVt0J/t\nlpnx170kdQMnjqfw0btuCH7GdV0cVCz85WvbeOmNXeyXarAdB3XbhWU5HVmkWt3BO7uHeGe3s0GD\nrgEJ0+tymc0kvNdI05DPJnHufetTHQ47CQyCaGImPYeBiChqvHo/fmrGzTR0WI02vWp52jANBIbp\nxNae7fObJFRqVs8mCd2yV2oQF8f212FZssf/5BV88p75z27qmga9bb3RvXdchw/efgr1RudHqzH8\ntV/7brXrGgDsXq0G3/cKJNTs01LaDLq19crGaJqGrd0D/OXruwCAREJH5cDL4uRzSSRMA5bt4tbT\nx6BrmrcG6WoFe1crHQ0lHBeo1h0ADg6VSsDLe2Vc2D5oXXu0msbJlckOiB03BkE0EfM0GI6IiMZH\nzbhVajaKh7WO8rRhGggM04lNfe63LpVQKte9506aPUvcemWvfHFsf70I84qG5c83yijLYbwOdc1y\nurrtwFEiikE6y4VpbdsNHFtKAJqGuuX0zCZ16/J2WLVxPJWAYXjBuNrUwHYc7F2tYudqBTuFZmnd\n7v4IA2JXGsHRShonVr0g6d2mAcd1YzUHqB8GQTQRPNASEdGg1Ixbs4pgtBLEYTuxhZXG9Stxizp7\nNSmLPK9oGGGDXx2n2Z2uUKpC09CRMRqks1yvtt3ddOvypn7d/tyGrnuziFYzwI2t/17NsoPOde0d\n7A7DBsQ2HifbtiuuA2K7YRBEE8EDLRERjeKoJYijruUapsQt6uzVsEYtN+e8otHpuoaUbiCVMHDt\nieXgdXRdF26jw9vJlRRMXRu4Q92guq0lAoArVyuwHQdLKROvXSgMFGAlTe93uPbEcsd9/oDYYDis\nPwtpRgbE9sIgiCaCB1oimjauS1xcowRSw5a4RZm9GsZRys0XYV7RJN736uuoaRr8hMdfv+sGnFzN\nDNyhblBha4kcx/V6Q7vevmoa+kDrkvrpNSC2WK57g2H3KyjVbFy4WMTOfqURiA0+IDaXSQRldSdX\n0ji5mo5sQGwvDIJoIhbhQEtE8cV1iTSso5S4TbKBxlHKzcOyZOPoDjeJQCTsOQBM5H3fL9vYu313\nc52RP/TV6RMcha0lulyooGbZMHQdy2kTqaQZPGYcXd40TcPKUhIrS0ncct0xHD++jCtXvABHHRDr\nZ5H8MrtCsdqRFSuW6yiW6zi/VWx7DmA1qw6Ibc5BGnRAbC8Mgmgi2FqWiKbpKCeKzCAtpmmXuA3q\nqOXm7QHb2loO29vFHj8xnElcgOj2HOlEeJlVVOuRhzk2dHtsotGhTg07/fVGtt1sfW3Zre2v29cS\n/daT32vp/lapWTisWNguHOIPvvHqUO2+j0odEHtr24DYuuXgSrGx9qjgda7b2S9jt1BBUSk7Bbw1\nVr0HxKprj8IHxPbCIIgGEsVJAFvLEtG0jHqiyAzSYptWidsw4l5uPonGSN2e48J2yWsE0CaK9cjD\nHBuGPY74643QFsT5XeqCrJHtBIGPuk6oUrOCdtuGoQ/csnsSEqaO9fwS1vNLHfdVa3aje11ZadLQ\na0BsOfTYnkzoQdbor4n1rtvCIIj64kkAEc26UU8U2dlyfg17cS+uF/LiXm4+7AWIUS66dnuObqII\nEAc5Nvi/y8ubV+ACHZnEYY8jQftu5TZ/ndGH7rgWf/Tsebhua9tsdebQuErjopJKGrj+5DKuP9na\noMEfEKsGRWqQZNmtBXa1uoN3dg7wzk7n+iMVgyDqiycBRDSr/JOQty4VUTysD13OxM6W82meLu7F\nvdx8mAsQo/5d2p/DH3Jr2w62C+WxlDH2Ozaov0vddoBGaVceXue4UrmOrd2DnkN4B+EHRj982zoy\nKbOxHxzCNHVk0wkkk0bQunuQlt1xpGkaspkEspkEbjqVa7nPcV1cPah1rD3a2fcGxPbCIIj64kkA\nEc0i9SQknTThut4CXE3TcON6dqATj7iXGtFoorq4F5f1YnHNUgGDZaqOmjFRn0Od6ZTPpeBi+Pf9\nIPodG9R9TG2sUShVg6DENPVIA/CwGVc+13VxzWoGK0uJoKTOtqNt3T0NuqZhNZvCajaFd19/rOU+\ndW5SGAZB1BdPAohoFrWf6GZSJjIpE+v5DB564GzPnz1qBoniLYqLe1Flk44SSI0rCIvy3+2XqeqV\nMfHfc/3+LupzvLx5Baapt7xnB33fD6NfcKfuY9lMIgjM6pYTtH1WOw1GWV0Ttm2apuHDP3gdltLN\n5/S709Utt2Wd0awHRj5D791ee6xBkBDi/QAellLer9z29wH8jJTyg43vPwPgswAsAF+SUj49zm2i\n4cW93piIKOykrduJ7luXSnj0qY2uJ3hRZJAo3qK4uBdFNukogVS3nz1/sYgLl0sjBzAvysuRlwr2\nylR1y5gUy/UgiOn1d2l/72eXEkgnO09vo65e6RfcqftYpvF7lMp1WLbTEaRFvX2Dlkh6rbu97nQ+\ndaZRvREU1W0nyF7Nk7EFQUKILwD4SQAHym13AviH8MY5QQhxCsDnANwNIA3gGSHEn0opZ7NocU7F\nvd6YiBZbr/a4lXprRyF/rYB/chJ2gneUDBLNhigu7kWRTRo0kAoL8sN+tly18LW/eBtrjY5owwZV\nz7y0hVfO78Fx3SMv4h/ExuYuXt68grrtZUeSZjMIUgfUdvu7hL33i4d1wEXLtgPjqV7pFdy172P+\ncSTsuDSO7Ru1RFKdaZRJNW9v70w3D4HRODNBbwD4FIDHAUAIcQLAvwbweQCPNR5zDsCzjaCnKoR4\nHcAdAJ4f43bRCOJcb0xEi63biSRCijpK5XpLCYr6b/jHOK6DnH9RXNyLIps0yL7WfqJ//mIRG5tX\nUKvbSCaMlmDFzzS06xfAtJSkWQ5c1x26JG1Y/nO6AODCK8WyHCylTdQsBxqA9XzvTFbYez+bSbRk\nkXyTql5RA9Z0Qgc0DbW6E+xjAGayuqZbZzo/W5RKGNA1oM+c11gZWxAkpXxCCHEGAIQQBoDfAfCz\nANR3/AoAdfpREUDrqqYQ+fwSTDN8ANa0rK3l+j+ISMF9hkbB/abTXqnWMYkdAFxNw6c/eRZ/9tzb\nuHjlAKeOL8OynaA0RVU4qAWv7Q3rK9jaKXU85rqT2Zl8/WdxmyfhI2s5fOTcmZF//hP3vguP/8kr\nobcP+poPsq89/zUZ7N+HlTr2S7XgcbbtolCq4YShYyltwrZdJE2j4/2g7t9h1OdImDrqjWzMQcVC\nbjnZsU1R8J9zNZvE7n6zAMiyXVx3chk/+ePvww+Ja3r+G2Hv/YSZRMLUcdOpleB9/9FzN/b9t6Lw\noryMP3r2PABvPo/tAnBd/NTfur3l+Y8dW2o5Lk1q+8bt5GrGG/BqOahZDuqWjbrlwI5pZDSpxWf1\nQQAAED1JREFUxgh3AXgPgN+GV/b2PiHEvwfwPwCo76gcgEK/f2xv73Ac2ziyqKcr0/zjPkOj4H4T\nLp9Nhl6RX89ncPp4Bj/1cRHcFtY1yX+s/9r+sDiJJy5e7XjM3eLkzL3+3Gc6RbXo//TxDD55z5mO\nbNLp45mBX/NB9rULl64GV9cLpRpcpQbJ/7pQqiJh6jAMDctpMwhifOr+HUZ9jpXlBHYaWZ9a4yS2\nfZsG0e919p8zYRo4lk0GWSzXdfHJe84M9Dp2e+9ff3K55X0PYCLvgz/+9hsdr71/++njzRxK+3Fp\nUts3Tt2ONQYAzWk0XlBK6SbVme76tWzX+yYSBEkpnwNwOwA0skP/WUr5+caaoF8RQqQBpAC8F8DG\nJLaJiIjmwzDrOwZ5LNdBzq+o5wMdtVR8kH1NLbtTS92SCQPZTCKYh7Oez+AusYYX5HbH8/QrtVKf\nYymdwGrORalcH6gkLcwgr3N74wA/Q7uezwy8filu3RtZShtO1zWkdAOpRLOKq6UBg9KZbpJJo6m2\nyJZSXhRCPALg2wB0AF+UUi72nkJEREMZJmgZ9LFcBzmf4jgfqNu+Fnair3ZP80/825t2nDmVGzqA\n77aI/8H7bhnp9xrkdR61OUWcuzdypMjgWhowKLfbjgPLas0cWWOKjMYaBEkpzwP4QK/bpJSPodko\ngYiIaGjDBC0McBZXnOYDDfoc6om+fyW9V+ZjlP1bvThQOKiNlP1RDfI6j5pxjXP3Ro4UOTpD12Ek\ngRTas0YOLNuNNGvEYalERES0EOIyH2jY51BP9P322FGXavrBUxTryHq9zkfNosW55IyltOOhzjPq\nyBo1SupGWWvEIIiIiGZSlCVJtBjiMh/oKM8xC5nMbq/zDddkj5xFi3vJ2Sz8feaFoeswdHSsNbId\nN2jd3UtnT1EiIqKY88uFLu2V4bjNk6mNzd1pbxrF2NmbT+DB+27Bej4DXdOwns8Mve7FH0TaeXt0\nJ+GTeI5x6vY6X7jc2Q4c6DXrq1O3gJUlZwR4WSPT0JFJmcgtJXs+lpmgKeOVTCKi4U2iJInm01Gv\n1I9z3Udcu56NIux1fvJbna8bMFwWjSVnFBUGQVM0icWVRETzaBwlSbwoRYMY10l4nLueRWXYUrZu\n70mWnFEUGARNUfuVzHLVQqlcx3946mXcfvPx4IoPP5SJiFpFtS6g25V3XpSiXsZxEh7nrmdRGSaL\nxgvFNG4MgqZIvZJZrlooFKveN5r3Zv/9r78KDQhS4TwAEBF5oihJUk+yiod1WJaDvWIVeTSPuyyv\no0mJc9ezqAyTRWPJK40bg6ApUq9klsr14HbT0FtuU+uBgdk6ALC8hIjGIYqSJPUkS+0iVCzXg+Pu\nPJ2AUrzFvetZVAbNoi1CUEjTxSBoitQrmeoHcC6T6LhNNSsHAKayiWicjlqSpJ5kmYYOy/KOueqx\nd95OQCm+4jpoc1oXM9uDQn/JgAbg0ac2eFGVjowtsqdIbSGZMHSYpo58LhVcgTQNPcgKqWblQ7lX\nKpuIaNrUNsTZxsUnAC3H3WmfgNLiiKJ9d9Sm2Ypefe/5SwYsy0E2k2BLfIoEM0FT5l/JbM+aAN6H\nshbyM7PyocxUNhHFmXrlPdO4+FQq17GylMR6nuW7NHlx63rW72LmODNEasnry5tXYJp6R8vwWVoe\nQPHDICgmutW3h902K2/4RalvJqLZ1H7cPXMqN1PHWKJ+jlrK1u1i5luXSrg0gXJ3Pyj85f/4PBw3\nbPt4UZVGxyAoRrpdAZrVD+S41jcTEfniduWdKCpRrMvtti6nWrORShoTy8zwoiqNA4MgGtqgV5Y4\n1ZmIiGg6omgxrV7MVEd5aBpCW8qPKzPDi6o0DgyCaCjDXlniVVYiIqLJi2Jdbrd1OcVyPeimqLaU\nH1dmhhdVaRwYBE3BLM/O4fAyIiKi+IuqhCxsXY4LBFkhtaX8ODMzvKhKUWMQNGGzPjun15WlWQ7u\niIiI5kl7CZm/nqdSs/DwV14AoKFm2QN/XqtBldpNUQPYTZFmEoOgCZv1TEq3K0tJU5vp4I6IiGie\nqCVkb10qoVSuI5dJwHWBza0iACCfSw38ed0eVGVSJjIpEw/ed0vwPE9+601eBKWZwWGpEzbrs3O6\np7rDJhpxMCoREdG0nL35BB564CxuWs9ibTWDdMpEqVwP7i8qX/f7vO42zBVAMFD1oGJhY/MKfvOr\n38PDX3mRw0wp1pgJmrBZb/PYbXHik9/q7NoCzE5wR0RENK/UC7DqGh7160E+r8PW5Tz61AaA1u5x\nAPD97RIrQijWGARN2CBtHuO+tibsIPjMS1szHdwRERHNK/UCrGnoQWc309CVx4z2ee0HWGqGCWgG\nWLNS7k+Lh+VwE9YtnewfIPzGCZf2ynDc5tqauKeUu5XJsYc/ERHRdKmfxdlMIvg6p3w96uf12moG\nQGtWCWgGWKwIobhiJmgKerV5nNXGCezhT0REFE/tn9H5bBLQNNTqzpE/r/0KFzXDBDQDLFaEUFwx\nCIqZWW6cwB7+RERE8TSuz2j/3/zj75zH5sUiTMMbqOoPUGVFCMUVg6CYmfXGCURERLRY/ACruaaZ\nFSEUfwyCYmaQxglEREREccOKEJolDIJiZtbW1sS9kx0RERERUTsGQTE0K1dS/E52Pr+T3fmLRVy4\nXGJgRERERESxxCCIRhbWya5ctfC1v3g7aJnpB0YAh6URERERUTxwThCNLKyTXalc75gVAHRv/U1E\nRERENGkMgmhkfrZHZdlOywRq3yy0+CYiIiKixcAgiEYW1rHOnw/Qji2+iYiIiCguuCaIRhbWye4u\nsYYX5HbHY9nim4iIiIjigkEQHUlYJ7szp3Iz0+KbiIiIiBYPgyCK3Ky0+CYiIiKixcQ1QURERERE\ntFAYBBERERER0UJhEERERERERAuFQRARERERES0UNkaYkI3N3UbHtDLWVjPsmEZERERENCUMgiZg\nY3MXT3zzzeD7S3vl4HsGQkREREREk8VyuAl45qWtoW4nIiIiIqLxYRA0AduFcpfbKxPeEiIiIiIi\nYjlcxMLW/qytZnBprzMQWltNT2ELiYiIiIgW21iDICHE+wE8LKW8XwjxgwB+A4ANoArgH0gpLwkh\nPgPgswAsAF+SUj49zm0ap25rf+4Sa6FB0IfuuHaSm0dERERERBhjOZwQ4gsAvgzAT3f8OoCfkVLe\nD+CrAH5OCHEKwOcA3APgYwB+VQiRGtc2jVu3NT4XLpfw4H23YD2fga5pWM9n8OB9t7ApAhERERHR\nFIwzE/QGgE8BeLzx/d+VUvpRggmgAuAcgGellFUAVSHE6wDuAPB8r384n1+CaRrj2eoRra3lsFeq\nIWF2xpWFgxo+cu4MPnLuzOQ3jGJrbS037U2gGcT9hobFfYaGxX2GRjFr+83YgiAp5RNCiDPK91sA\nIIT4EQD/DMCH4WV/9pUfKwI41u/f3ts7jHRbj2ptLYft7SLy2WRL2Vu5aqFUrkMD8Mtf/p+cDUQB\nf58hGgb3GxoW9xkaFvcZGkVc95tegdlEu8MJIf4OgEcBfEJKuQ3gKgB163IACpPcpqhsbO5iv1TF\n1u4Btgtl7JeqKBSrsCwH2UwiWB+0sbk77U0lIiIiIlpoEwuChBA/AS8DdL+U0u8e8ByAe4UQaSHE\nMQDvBbAxqW2KyovyMp745puo1B2sZr0lTVcPatB0DflcCulUM+HG2UBERERERNM1kRbZQggDwCMA\n3gbwVSEEAHxTSvlLQohHAHwbXkD2RSnlzA3P+cZzbwdfZ1ImMikTW7sHMHStJQACOBuIiIiIiGja\nxhoESSnPA/hA49vjXR7zGIDHxrkd4+LPBPo/b+zC0DXkMokg6DENHZbtdPwMZwMREREREU0Xh6WO\nSJ0JlDB01Oo29opV5AGkUyaymQRK5XrHz3E2EBERERHRdE20McI8Udf2rCwngq+LjcAnkzLx8fff\nyNlAREREREQxw0zQiLYLzVbYS+kEVnMuSuU6bNvBej7DdthERERERDHFIGhEa6uZlplAfkOE9XwG\nDz1wdopbRkREREREvbAcbkTd1vZwzQ8RERERUbwxEzQiv9TtmZe2UDiosQSOiIiIiGhGMAg6grM3\nn8DZm09gbS2H7e3itDeHiIiIiIgGwHI4IiIiIiJaKAyCiIiIiIhooTAIIiIiIiKihcIgiIiIiIiI\nFgqDICIiIiIiWigMgoiIiIiIaKEwCCIiIiIiooXCIIiIiIiIiBYKgyAiIiIiIlooDIKIiIiIiGih\nMAgiIiIiIqKFwiCIiIiIiIgWCoMgIiIiIiJaKJrrutPeBiIiIiIioolhJoiIiIiIiBYKgyAiIiIi\nIlooDIKIiIiIiGihMAgiIiIiIqKFwiCIiIiIiIgWCoMgIiIiIiJaKAyCiIiIiIhooZjT3oBZJYTQ\nAfwWgB8AUAXwj6SUr093qyiuhBAvArja+HYTwK8A+D0ALoANAP9USulMZ+soToQQ7wfwsJTyfiHE\nuxGynwghPgPgswAsAF+SUj49tQ2mWGjbb+4E8DSA1xp3/7aU8g+53xAACCESAH4XwBkAKQBfAvAK\neKyhHrrsN9/HDB9rmAka3d8GkJZSfhDAvwLwb6e8PRRTQog0AE1KeX/jv58G8GsAfkFKeS8ADcAD\nU91IigUhxBcAfBlAunFTx34ihDgF4HMA7gHwMQC/KoRITWN7KR5C9pu7APyacsz5Q+43pPgJALuN\n48rHAfwmeKyh/sL2m5k+1jATNLoPAfgaAEgp/5cQ4u4pbw/F1w8AWBJCfB3ee+7n4R04vtm4/78B\n+DEAT05n8yhG3gDwKQCPN74P209sAM9KKasAqkKI1wHcAeD5CW8rxUfYfiOEEA/Au0L7eQDnwP2G\nPP8FwH9tfK3Bu1rPYw31022/mdljDTNBo1sBsK98bwshGFRSmEMA/wbeFZGHAHwFXmbIbdxfBHBs\nSttGMSKlfAJAXbkpbD9pP/Zw/1lwIfvNcwD+pZTywwDeBPBL4H5DDVLKkpSyKITIwTup/QXwWEN9\ndNlvZvpYwyBodFcB5JTvdSmlNa2NoVh7FcDvSyldKeWrAHYBrCv35wAUprJlFHfqOjF/P2k/9nD/\noXZPSilf8L8GcCe435BCCHEawJ8DeFxK+Z/AYw0NIGS/meljDYOg0T0L4McBQAjxAQDfm+7mUIx9\nGo01Y0KI6+BdJfm6EOL+xv1/E8C3p7NpFHP/O2Q/eQ7AvUKItBDiGID3wlvITOT770KIc42vPwrg\nBXC/oQYhxDqArwP4OSnl7zZu5rGGeuqy38z0sYblW6N7EsCPCiG+A6828qenvD0UX78D4PeEEM/A\n67zzaQA7AB4TQiQB/F8062yJVP8CbfuJlNIWQjwC7yRFB/BFKWVlmhtJsfNPAPyGEKIO4CKAfyyl\nvMr9hhp+HkAewC8KIX6xcds/B/AIjzXUQ9h+87MA/t2sHms013X7P4qIiIiIiGhOsByOiIiIiIgW\nCoMgIiIiIiJaKAyCiIiIiIhooTAIIiIiIiKihcIgiIiIiIiIFgqDICIiIiIiWigMgoiIiIiIaKH8\nf3+Y1p5DvdYcAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11322b748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "noah 选股周期内角度=-9.289\n"
     ]
    }
   ],
   "source": [
    "# 从kl_pd_manger缓存中获取选股走势数据，\n",
    "# 注意get_pick_stock_kl_pd()为选股数据，get_pick_time_kl_pd()为择时\n",
    "kl_pd_noah = kl_pd_manger.get_pick_stock_kl_pd('usNOAH')\n",
    "# 绘制并计算角度\n",
    "deg = ABuRegUtil.calc_regress_deg(kl_pd_noah.close)\n",
    "print('noah 选股周期内角度={}'.format(round(deg, 3)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "注意上面的选股数据要使用择时回测数据之前的一段时间数据，在AbuPickStockBase中定义了xd，min_xd选股周期获取参数，\n",
    "在AbuKLManager中通过get_pick_stock_kl_pd()函数配合xd，min_xd参数获取选股周期数据\n",
    "\n",
    "更多详情请阅读AbuPickStockBase源代码与AbuKLManager源代码"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上述选股代码实现在ABuPickStockExecute.do_pick_stock_work()中进行了封装，即讲AbuPickStockWorker及一些零散操作进行封装。\n",
    "\n",
    "更多详情请阅读ABuPickStockExecute，使用示例如下所示：\n",
    "\n",
    "eg：继续使用AbuPickRegressAngMinMax做为选股因子，如下定义threshold_ang_min＝0.0， threshold_ang_max＝10.0，即只选取上升趋势且上升角度小于10度的股票，下面示例使用ABuPickStockExecute.do_pick_stock_work()函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pid:19385 pick stocks complete:100.0%\n",
      "pid:19385 done!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['usSFUN', 'usBIDU']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from abupy import ABuPickStockExecute\n",
    "\n",
    "stock_pickers = [{'class': AbuPickRegressAngMinMax,\n",
    "                  'threshold_ang_min': 0.0, 'threshold_ang_max': 10.0,\n",
    "                  'reversed': False}]\n",
    "\n",
    "ABuPickStockExecute.do_pick_stock_work(choice_symbols, benchmark,\n",
    "                                       capital, stock_pickers)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看到结果sfun和baidu都符合，下面代码验证一下："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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eQ8Dr5KVz41s6QyxRDWZ2OTMDlb4ZZWZEpJEomBERaUBj02kMoCu8d8Yr18Oh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\nfqRzw/+m+4518hevDTGdzPNI9bbXJys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rVCFlX4F4cMmPr9Syr2qk16nwuZ/bW5T7UigE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\nBDoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112b3e470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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3tDEtG7mMiu3Le1N/oz7od872PCKi+WIIIiJacN3DDtwA8IG/fgo3nFhBw7SQVGQAEhqm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\nkiRJkqaKIUiSJEnSVPl/tYGi7ifZqJgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1134d6b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sfun 选股周期内角度=8.230\n"
     ]
    }
   ],
   "source": [
    "kl_pd_sfun = kl_pd_manger.get_pick_stock_kl_pd('usSFUN')\n",
    "print('sfun 选股周期内角度={:.3f}'.format(ABuRegUtil.calc_regress_deg(kl_pd_sfun.close)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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WKRNryZaJVWzeFy0KMyIia5ELM2U2C7FEismZ6LYMM7lX4xtdDpzlNgZ9ISYC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gT+Wr7uUFw9t9eon4ly09pe48oMnAscrmyPRYRDnno5BvyK4grFTcCfKFZquuXxI8C8mmpTg2Tm\nU8DJyq5eORnfe8zP51yP3OwEfpqZ3wbeAX6OuVEpM49m5pGIGKY4Ob0He436mCA3re41DjPF8w/D\nle05mXmqrmLUaG8Bf8zMbma+BXwEnF85PgwcqqUyNV31OaozORnfe8yPxns6M3edeQ0sx9yoIiIW\nAc8Dj2fmn7HXaAp65KbVvcZhBrYDVwBExGrg3/WWowa7lvKZqoi4gOKqxZaIWFse/z6wrZ7S1HCv\n98jJTmBNRAxFxDxgMcUDu9IZz0bEyvL1d4FdmBuVIuJ8YAvws8x8tNxtr9GkJshNq3uNt1MVE+hl\nEfESxb2D62uuR831CPBYRLxI8U0x1wIfApsj4hxgN/+7D1Wq+gnjcpKZYxGxieJkYw5wd2aeqLNI\nNc7NwO8i4iTwPnBDZn5sblS6C5gP3BsR95b7bgM22Ws0iV65uR34TVt7Tafb7fZ/lyRJkiQ1jLeZ\nSZIkSWolhxlJkiRJreQwI0mSJKmVHGYkSZIktZLDjCRJkqRWcpiRJEmS1EoOM5IkSZJa6b8fPnn9\nA8Oo1AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113571780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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mwlcIUhTlX8qy/DUAfxeACOA3FEV5OtAjIyKiieon2PhdNzQo3rwPb5iSRX7/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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1134b6e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bidu 选股周期内角度=9.644\n"
     ]
    }
   ],
   "source": [
    "kl_pd_baidu = kl_pd_manger.get_pick_stock_kl_pd('usBIDU')\n",
    "print('bidu 选股周期内角度={:.3f}'.format(ABuRegUtil.calc_regress_deg(kl_pd_baidu.close)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上面结果显示两支股票在选股周期中的价格趋势拟合角度都在0-10之间。\n",
    "\n",
    "假设修改需求想要选取周期内趋势角度在0度－10度之外的所有股票，可以这样编写代码："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pid:19385 pick stocks complete:100.0%\n",
      "pid:19385 done!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['usNOAH', 'usTSLA', 'usWUBA', 'usVIPS']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 和上面的代码唯一的区别就是reversed=True\n",
    "stock_pickers = [{'class': AbuPickRegressAngMinMax,\n",
    "                  'threshold_ang_min': 0.0, 'threshold_ang_max': 10.0,\n",
    "                  'reversed': True}]\n",
    "\n",
    "ABuPickStockExecute.do_pick_stock_work(choice_symbols, benchmark,\n",
    "                                       capital, stock_pickers)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看到结果与之前相反除了baidu和sfun之外所有股票都被选上，由于在AbuPickStockBase中定义函数reversed_result()，它的作用就是定义结果是否反转。\n",
    "\n",
    "具体实现请阅读AbuPickStockBase中reversed_result装饰器的实现。\n",
    "\n",
    "使用实际很简单，在每个具体的选股因子上的fit_pick()函数上根据需要选择是否安上装饰器，如下编写价格选股因子所示："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "class AbuPickStockPriceMinMax(AbuPickStockBase):\n",
    "    \"\"\"价格选股因子示例类\"\"\"\n",
    "    def _init_self(self, **kwargs):\n",
    "        \"\"\"通过kwargs设置选股价格边际条件，配置因子参数\"\"\"\n",
    "\n",
    "        # 暂时与base保持一致不使用kwargs.pop('a', default)方式\n",
    "        # fit_pick中选择 > 最小(threshold_price_min), 默认负无穷，即默认所有都符合\n",
    "        self.threshold_price_min = -np.inf\n",
    "        if 'threshold_price_min' in kwargs:\n",
    "            # 最小价格阀值\n",
    "            self.threshold_price_min = kwargs['threshold_price_min']\n",
    "\n",
    "        # fit_pick中选择 < 最大(threshold_price_max), 默认正无穷，即默认所有都符合\n",
    "        self.threshold_price_max = np.inf\n",
    "        if 'threshold_price_max' in kwargs:\n",
    "            # 最大价格阀值\n",
    "            self.threshold_price_max = kwargs['threshold_price_max']\n",
    "\n",
    "    @ps.reversed_result\n",
    "    def fit_pick(self, kl_pd, target_symbol):\n",
    "        \"\"\"开始根据自定义价格边际参数进行选股\"\"\"\n",
    "        if kl_pd.close.max() < self.threshold_price_max and kl_pd.close.min() > self.threshold_price_min:\n",
    "            # kl_pd.close的最大价格 < 最大价格阀值 且 kl_pd.close的最小价格 > 最小价格阀值\n",
    "            return True\n",
    "        return False\n",
    "\n",
    "    def fit_first_choice(self, pick_worker, choice_symbols, *args, **kwargs):\n",
    "        raise NotImplementedError('AbuPickStockPriceMinMax fit_first_choice unsupported now!')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "备注：本节所编写的选股示例代码以内置在abupy项目代码中可通过如下方式直接导入：\n",
    "\n",
    "    from abupy import AbuPickStockPriceMinMax\n",
    "    from abupy import AbuPickRegressAngMinMax"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. 多个选股因子并行执行"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. ABuPickRegressAngMinMax: threshold_ang_min=0.0, 即要求股票走势为向上，上升趋势\n",
    "2. ABuPickStockPriceMinMax threshold_price_min=50.0, 即要求股票在选股周期内股价最小值要大于50.0\n",
    "\n",
    "继续使用ABuPickStockExecute，使上面两个选股因子同时生效，结果符合的只有BIDU及TSLA，代码如下所示："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pid:19385 pick stocks complete:100.0%\n",
      "pid:19385 done!\n",
      "CPU times: user 519 ms, sys: 49.6 ms, total: 569 ms\n",
      "Wall time: 793 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['usBIDU', 'usTSLA']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from abupy import AbuPickStockPriceMinMax\n",
    "\n",
    "\n",
    "# 选股list使用两个不同的选股因子组合，并行同时生效\n",
    "stock_pickers = [{'class': AbuPickRegressAngMinMax,\n",
    "                  'threshold_ang_min': 0.0, 'reversed': False},\n",
    "                 {'class': AbuPickStockPriceMinMax,\n",
    "                  'threshold_price_min': 50.0,\n",
    "                  'reversed': False}]\n",
    "\n",
    "%time ABuPickStockExecute.do_pick_stock_work(choice_symbols, benchmark, capital, stock_pickers)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. 使用并行来提升选股运行效率"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "与并行择时实现方式类似，选股使用AbuPickStockMaster并行执行多个进程来提升选股效率。\n",
    "\n",
    "具体代码请查询AbuPickStockMaster，下面为使用示例, 使用do_pick_stock_with_process()函数执行默认n_process_pick_stock=8，即默认同时运行8个进程。\n",
    "\n",
    "备注：下面都通过import的方式导入了模块，因为在windows系统上，启动并行后，在ipython notebook中定义的类会在子进程中无法找到"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pid:6614 pick stocks complete:100.0%\n",
      "pid:6615 pick stocks complete:100.0%\n",
      "pid:6616 pick stocks complete:100.0%\n",
      "pid:6617 pick stocks complete:100.0%\n",
      "pid:6618 pick stocks complete:100.0%\n",
      "pid:6619 pick stocks complete:100.0%\n",
      "pid:6620 pick stocks complete:100.0%\n",
      "pid:6621 pick stocks complete:100.0%\n",
      "pid:6617 done!\n",
      "pid:6618 done!\n",
      "pid:6615 done!\n",
      "pid:6614 done!\n",
      "pid:6616 done!\n",
      "pid:6620 done!\n",
      "pid:6619 done!\n",
      "pid:6621 done!\n",
      "CPU times: user 89.9 ms, sys: 43.7 ms, total: 134 ms\n",
      "Wall time: 419 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "from abupy import AbuPickStockMaster\n",
    "from abupy import AbuPickRegressAngMinMax, AbuPickStockPriceMinMax\n",
    "\n",
    "# 选股list使用两个不同的选股因子组合，并行同时生效\n",
    "stock_pickers = [{'class': AbuPickRegressAngMinMax,\n",
    "                  'threshold_ang_min': 0.0, 'reversed': False},\n",
    "                 {'class': AbuPickStockPriceMinMax,\n",
    "                  'threshold_price_min': 50.0,\n",
    "                  'reversed': False}]\n",
    "\n",
    "cs = AbuPickStockMaster.do_pick_stock_with_process(capital, benchmark, stock_pickers, choice_symbols)"
   ]
  },
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   "source": [
    "从上面输出可以看到选股阶段启动了8个进程，因为股票数量太少，进程启动销毁也需要一定时间，所以上例整体效率并没有提高。\n",
    "\n",
    "更多示例请阅读《量化交易之路》书中的示例以及对应的ipython代码或者python代码"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "#### abu量化文档目录章节\n",
    "\n",
    "1. [择时策略的开发](http://www.abuquant.com/lecture/lecture_1.html)\n",
    "2. [择时策略的优化](http://www.abuquant.com/lecture/lecture_2.html)\n",
    "3. [滑点策略与交易手续费](http://www.abuquant.com/lecture/lecture_3.html)\n",
    "4. [多支股票择时回测与仓位管理](http://www.abuquant.com/lecture/lecture_4.html)\n",
    "5. [选股策略的开发](http://www.abuquant.com/lecture/lecture_5.html)\n",
    "6. [回测结果的度量](http://www.abuquant.com/lecture/lecture_6.html)\n",
    "7. [寻找策略最优参数和评分](http://www.abuquant.com/lecture/lecture_7.html)\n",
    "8. [A股市场的回测](http://www.abuquant.com/lecture/lecture_8.html)\n",
    "9. [港股市场的回测](http://www.abuquant.com/lecture/lecture_9.html)\n",
    "10. [比特币，莱特币的回测](http://www.abuquant.com/lecture/lecture_10.html)\n",
    "11. [期货市场的回测](http://www.abuquant.com/lecture/lecture_11.html)\n",
    "12. [机器学习与比特币示例](http://www.abuquant.com/lecture/lecture_12.html)\n",
    "13. [量化技术分析应用](http://www.abuquant.com/lecture/lecture_13.html)\n",
    "14. [量化相关性分析应用](http://www.abuquant.com/lecture/lecture_14.html)\n",
    "15. [量化交易和搜索引擎](http://www.abuquant.com/lecture/lecture_15.html)\n",
    "16. [UMP主裁交易决策](http://www.abuquant.com/lecture/lecture_16.html)\n",
    "17. [UMP边裁交易决策](http://www.abuquant.com/lecture/lecture_17.html)\n",
    "18. [自定义裁判决策交易](http://www.abuquant.com/lecture/lecture_18.html)\n",
    "19. [数据源](http://www.abuquant.com/lecture/lecture_19.html)\n",
    "20. [A股全市场回测](http://www.abuquant.com/lecture/lecture_20.html)\n",
    "21. [A股UMP决策](http://www.abuquant.com/lecture/lecture_21.html)\n",
    "22. [美股全市场回测](http://www.abuquant.com/lecture/lecture_22.html)\n",
    "23. [美股UMP决策](http://www.abuquant.com/lecture/lecture_23.html)\n",
    "\n",
    "abu量化系统文档教程持续更新中，请关注公众号中的更新提醒。\n",
    "\n",
    "#### 《量化交易之路》目录章节及随书代码地址\n",
    "\n",
    "1. [第二章 量化语言——Python](https://github.com/bbfamily/abu/tree/master/ipython/第二章-量化语言——Python.ipynb)\n",
    "2. [第三章 量化工具——NumPy](https://github.com/bbfamily/abu/tree/master/ipython/第三章-量化工具——NumPy.ipynb)\n",
    "3. [第四章 量化工具——pandas](https://github.com/bbfamily/abu/tree/master/ipython/第四章-量化工具——pandas.ipynb)\n",
    "4. [第五章 量化工具——可视化](https://github.com/bbfamily/abu/tree/master/ipython/第五章-量化工具——可视化.ipynb)\n",
    "5. [第六章 量化工具——数学：你一生的追求到底能带来多少幸福](https://github.com/bbfamily/abu/tree/master/ipython/第六章-量化工具——数学.ipynb)\n",
    "6. [第七章 量化系统——入门：三只小猪股票投资的故事](https://github.com/bbfamily/abu/tree/master/ipython/第七章-量化系统——入门.ipynb)\n",
    "7. [第八章 量化系统——开发](https://github.com/bbfamily/abu/tree/master/ipython/第八章-量化系统——开发.ipynb)\n",
    "8. [第九章 量化系统——度量与优化](https://github.com/bbfamily/abu/tree/master/ipython/第九章-量化系统——度量与优化.ipynb)\n",
    "9. [第十章 量化系统——机器学习•猪老三](https://github.com/bbfamily/abu/tree/master/ipython/第十章-量化系统——机器学习•猪老三.ipynb)\n",
    "10. [第十一章 量化系统——机器学习•ABU](https://github.com/bbfamily/abu/tree/master/ipython/第十一章-量化系统——机器学习•ABU.ipynb)\n",
    "11. [附录A 量化环境部署](https://github.com/bbfamily/abu/tree/master/ipython/附录A-量化环境部署.ipynb)\n",
    "12. [附录B 量化相关性分析](https://github.com/bbfamily/abu/tree/master/ipython/附录B-量化相关性分析.ipynb)\n",
    "13. [附录C 量化统计分析及指标应用](https://github.com/bbfamily/abu/tree/master/ipython/附录C-量化统计分析及指标应用.ipynb)\n",
    "\n",
    "[更多阿布量化量化技术文章](http://www.abuquant.com/article)\n",
    "\n",
    "\n",
    "更多关于量化交易相关请阅读[《量化交易之路》](http://www.abuquant.com/books/quantify-trading-road.html)\n",
    "\n",
    "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http://www.abuquant.com/books/machine-learning-road.html)\n",
    "\n",
    "更多关于abu量化系统请关注微信公众号: abu_quant\n",
    "\n",
    "如有任何问题也可在公众号中联系我的个人微信号。\n",
    "\n",
    "![](./image/qrcode.jpg)"
   ]
  }
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